amysheep Goto Github PK

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

ab-test

abayes

Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.

algotrading

amysheep.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

bingo

Generate Bingo cards with R.

csp2019-rpackage

csp2020

Public work and open source

datacamp_proj_hd

cleveland heart disease dataset-logistic regression

dataone-ahm-2016-poster

Runnable examples of YW provenance queries highlighted in poster for DataONE AHM 2016.

dataviscs498final

D3 final project

dockerstuff

Everything docker

firstshinyapptrajprediction

Depression Trajectory Prediction model

ggplot2

An implementation of the Grammar of Graphics in R

gilmoregirldialoguegenerator

Use language model, machine learning and neural network to train Gilmore Girl scripts and generate new dialogue given leading words

helper

Utility functions and code snippets

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

lll

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

mlfromscratch

Machine Learning algorithm implementations from scratch.

mmm-toy-data

MMM toy data for use in testing Robyn, VAR and other technologies

mp0

A Machine Programming Assignment for CS498: Cloud Computing Applications UIUC

netflixcluster

network-analysis-made-simple

For PyCon, PyData, ODSC, and beyond!

nuevalhelperfuns

nutrajectorypredictionanalysis

Five Maternal Characteristics Determine the 12-Month Course of Postpartum Depressive Symptoms

pkgnet-gallery

the gallery for pkgnet

projects-instructor-application-r

The application process for becoming a project instructor

pylift

Uplift modeling package.

robyn

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.